Mobile time-tracking and site analytics for construction teams
Anonymised case study
Due to a non-disclosure agreement, we can't share the client name or project name. What you read here is the description of a real delivered project — anonymised.
Background
A construction contractor had been struggling with a transparency gap for years: contractors kept manual time logs, and every workday could only be verified after the fact. Competitors were digitising, and customers were increasingly demanding evidence of work performed. The leadership knew that without changing, they'd lose contracts to more transparent competitors.
Problem → Solution
Workers logged hours manually, which was inaccurate and gave no visibility into material consumption. Anomalies (mismatched quantities, suspicious activity) only surfaced at invoicing — after the fact.
A React Native mobile app with automatic activity tracking (geofencing + sensors), Node.js backend, and AI-driven analytics on resource and material usage with anomaly detection.
Approach
We mapped typical construction-industry work patterns with domain experts, then designed data collection that's invisible to the worker — the mobile app records in the background using geofencing and sensor data. AI analytics build reports from the accumulated data and flag anomalies, so the foreman intervenes during the day, not at the end of the project.
Outcome
Real-time
Time & material data (was: weekly batch)
Pre-invoice
Anomalies surface
iOS + Android
Full mobile coverage
Time and material data is available in real time, and anomalies surface before payment. Project managers see what's happening on every site, daily.
Operations
LIVEProduction mobile app and backend operations, AI model refinement on real data, iOS + Android build pipelines, and incident response.
Selected work
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